Lucid CEO Peter Rawlinson explained his compensation plan during the luxury electric car maker’s Q4 2023 earnings call. Rawlinson’s comments came amidst criticisms that his compensation plan is notably large, even if Lucid is still yet to make a breakthrough in its vehicle production and sales. For context, Lucid posted revenue of $157.2 million and a net loss of $653.8 million in Q4 2023.
Previous reports have noted that the Lucid CEO is very well paid compared to other chief executives in the auto sector. As noted in a Benzinga report, Rawlinson’s compensation in 2022 reached $379 million, which is quite interesting considering GM CEO Mary Barra had a total compensation of $34 million in 2022, and Ford CEO Jim Farley had a total compensation of $18 million during the same year.
And in a recent 8-K filing, Lucid’s Board members noted that they approved a $6 million cash bonus to the CEO. The Board noted that the bonus was to recognize Rawlinson’s contributions to the unveiling of the Lucid Gravity, the luxury EV maker’s upcoming SUV. Thus, it was no surprise that during the Q4 2023 earnings call, Rawlinson was asked if he was willing to take a pay cut to reduce the company’s losses — or at least if there are plans to buy back shares to improve the health of Lucid stock.
Lucid CEO Peter Rawlinson’s response to the question was as follows.
“Many may not be aware of my founding role in this company as we know it today. I joined the company around 11 years ago, with a clear goal of making the very best electric vehicle and to drive a revolution towards sustainable transportation, which is going to benefit everyone in the planet…
“So in 2021, I received a onetime CEO stock grant, and this was solely determined and approved by the Board of Directors. And a significant portion of that vested due to the company achieving certain market capitalization milestones as we publicly disclosed in 2023. So I think there’s a huge misperception that this onetime grant was received as a salary and somehow we replicate it as my salary in the future.
“In fact, in 2023, at my request, I did not receive a bonus for 2022, nor did I receive any further equity grants in ’22 or ’23. And I just want to assure you, my mission and my dedication is still unwavering. I have not sold a single share of stock in all this time, over 10 years, except what was absolutely necessary for tax purposes. And the company stock I received from the grant remains in the form of company stock. And so I am also directly tied, personally tied, directly and hugely to the company’s performance as a key shareholder.
“And so I’m incentivized that way. My promise is to continue to work tirelessly, day and night, to drive brand awareness, to deliver more cars, to sign up more technology licensing and access agreements, to drive down costs and to bring the Gravity and midsized platform to market. We have an incredible team. We’re driving forward, and I’m incredibly excited about our products and moreover, our future,” Rawlinson said.
Lucid interim CFO Gagan Dhingra also addressed the second part of the question.
“Regarding the second part of the question, we are investing in our future, but we are a growth company. We are also a technology company. and I believe our investments into areas such as our research and development is an advantage and give us the opportunity for higher returns than any other automotive company because we are monetizing the intellectual property through agreements such as the one with Aston Martin.
“When we feel we can’t increase value from reinvesting back into the business, we would consider returning the cash to shareholders via a repurchase program. But we don’t believe this would happen for quite some time,” the interim CFO said.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
